Quickly modulate the latency, throughput, size, accuracy and cost tradeoff in inference. Select the optimal setup for your model and squeeze out every last bit of performance.
Faster inference leads to great user experiences. But faster inference also means lower computing costs, on cloud and on prem both.
There are many pre-trained API models out there, but not all of them were born equal. Find the Pareto-optimal API for your specific task and then easily deploy in one-click.
API models need to stand out in an ever-changing world. Efficiently fine-tune and update your API model so that it becomes a trusted differentiating factor for your business.
Run your AI workloads on Kubernetes as efficiently as possible. Boost workloads performance while saturating the utilization of expensive GPUs.
Not personalizing API models makes it much harder for your business to stand out. Make sure that your growing data flow is delivering value.
After a decade of explosive progress, AI is poised to reinvent itself once again as the paradigm shifts from accuracy to efficiency. Enterprise-grade AI must combine accuracy, cost-effectiveness and ease of deployment into company workflows.
Create a full-stack abstraction layer that automatically connects users to the right AI hardware, cloud and API providers.
Engineer a platform to efficiently personalize generic API models to meet unique user needs.
Leverage foundational AI models to achieve superhuman results in building the fastest AI ever.
Build on open-source foundations so that developers all over the world can experience first-hand the benefits of AI optimization.
